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  1. 52501

    Identification and Analysis of <i>KAS II</i>, <i>FAT</i>, <i>SAD</i>, and <i>FAD</i> Gene Families in <i>Hippophae rhamnoides</i> by Alexander A. Arkhipov, Ekaterina M. Dvorianinova, Anastasia A. Turba, Roman O. Novakovskiy, Yury A. Zubarev, Pavel A. Predushchenko, Elizaveta A. Sigova, Daiana A. Zhernova, Elena V. Borkhert, Elena N. Pushkova, Chengjiang Ruan, Nataliya V. Melnikova, Alexey A. Dmitriev

    Published 2024-12-01
    “…As a result of structure and phylogenetic analyses, 4 <i>KAS II</i>, 8 <i>FAT</i>, 9 <i>SAD</i>, and 12 <i>FAD</i> genes were identified in the <i>H. rhamnoides</i> genome, which were classified into subfamilies: <i>KAS II, FATA</i>, <i>FATB</i>, <i>FAD2</i>, <i>FAD3</i>, <i>FAD6</i>, and <i>FAD7/8</i>. …”
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  2. 52502
  3. 52503

    Whole-Genome Resequencing to Identify Selection Signatures Associated with High Fertility in Lüliang Black Goat by Xu Wang, Zhenqi Zhou, Xinrui Chai, Jie Li, Wannian Wang, Zhixu Pang, Lifen Cheng, Caihong Cheng, Liying Qiao, Yangyang Pan, Kaijie Yang, Wenzhong Liu, Jianhua Liu

    Published 2024-12-01
    “…Based on whole-genome resequencing data, this study comprehensively assessed the population structure and genetic diversity of LBG and explored the related genes that affect reproductive performance. …”
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  4. 52504

    Technical note: Flow cytometry assays for the detection, counting and cell sorting of polyphosphate-accumulating bacteria by C. Bouquet, H. Billard, H. Billard, C. C. Bidaud, J. Colombet, J. Colombet, Y.-T. Chang, J. Artigas, I. Batisson, K. Benzerara, F. Skouri-Panet, E. Duprat, A.-C. Lehours

    Published 2025-04-01
    “…This requires high-throughput methods to characterize their structure and dynamics in ecosystems. A promising strategy is to combine the staining of intracellular polyphosphate granules and their subsequent detection by flow cytometry, enabling rapid data acquisition. …”
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    Article
  5. 52505

    Erythritol as a Next-Generation Sweetener: properties, metabolism, cardiovascular risk and gut health implications – A literature review by Julia Skowrońska-Borsuk, Martyna Narożniak, Adrianna Ewa Pękacka, Bartłomiej Czerwiec, Adam Borsuk, Joanna Katarzyna Pergoł, Malwina Wojtas, Julia Borkowska, Zuzanna Krupa, Julia Sposób

    Published 2025-07-01
    “…However, these findings are inconclusive and require further investigation. Emerging animal data indicate erythritol may modulate gut epithelial structure via microbiota-derived metabolites. …”
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    Article
  6. 52506

    Anti-Migratory Activity of Brazilin Chemodiversification on Breast Cancer Cells by Alberto Hernández-Moreno, Dania A. Nava-Tapia, Miriam D. Zuñiga-Eulogio, Jorge Bello-Martínez, Monserrat Olea-Flores, Tadeo Hernández-Moreno, Mario Ordoñez, Ana E. Zacapala-Gómez, Miguel A. Mendoza-Catalán, Napoleón Navarro-Tito

    Published 2025-01-01
    “…In this study, we isolated brazilin from the heartwood of <i>Haematoxylum brasiletto</i>; then, we performed a semi-synthesis by adding three methyl or acetyl groups to the core structure of brazilin. We confirmed the identity of brazilin and its derivatives by spectroscopic data (<sup>1</sup>H NMR and <sup>13</sup>C NMR) and measured their purity by optical rotation. …”
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  7. 52507

    An effective fluorescence strategy based on xanthine oxidase catalysis and the carbon dots’ specific response to ·OH for aminophylline pharmacokinetic studies by Chenfang Miao, Menghan Zhang, Ying Zheng, Xiaoyan Lin, Shuangying Yang, Linlin Xu, Sitong Lu, Zhengjun Huang, Jianyong Huang, Yanjie Zheng, Shaohuang Weng

    Published 2025-08-01
    “…In this study, high quantum yield carbon dots (CA/EDA-CDs) were synthesized via a hydrothermal method using riboflavin as the carbon source, citric acid and ethylenediamine as functionalizing agents and dopants. The luminescent structure of CA/EDA-CDs, featuring a π-conjugated system (aromatic C=C and graphite N) and surface chromophores (C=N/C=O) connected via C-N, C-O, and hydrogen bonds, was controllably modulated by hydroxyl radical (·OH). …”
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  8. 52508

    ASSESSMENT OF THE PSYCHOLOGICAL STATUS OF PATIENTS WITH GYNECOLOGICAL CANCER IN THE PROCESS OF PSYCHOLOGICAL REHABILITATION by E. V. Pestereva, V. A. Chulkova, T. Y. Semiglazova, E. G. Ulrich, O. A. Pestereva

    Published 2018-03-01
    “…Disturbing component in patients at the stage of «before operation» and dysphoric component in patients at the stage of «after surgery» were dominated on the background of ergopathic reactions to the disease in the structure of attitude to the disease. The high intensity of complaints of female patients about their health, including non-specific, indicating the psychosomatic component of the patient’s suffering was revealed. …”
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  9. 52509

    Climate Change Risk, Performance, and Value Added in Agricultural Sector by Ramin Amani, Zanko Ghorbani, Zana Mozaffari

    Published 2024-09-01
    “…The study period spans from 2010 to 2020, and the quantile regression method is employed on panel data to conduct the analysis. Methodology The general definition of quantile regression states that if the linear regression model is assumed as the following equation, we have: yi=ˊxiβτ+uτi.  0<τ<1                                                                                 (1) Quantτ(yi|xi)=xiβτ                                                                                  (2) Equation (2) shows the τth conditional quantile function of the y distribution under the condition of random variables x in which the following condition holds: Quantτ(uτi|xi)=0                                                                                              (3) In the quantile regression structure, the effect of observable features on the conditional distribution is estimated through the process of minimizing the absolute value of the error element. …”
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  10. 52510

    MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection by Zelu Wang, Ming Luo, Xinghe Xie, Yue Sun, Xinyu Tian, Zhengxuan Chen, Junwei Xie, Qinquan Gao, Tong Tong, Yue Liu, Tao Tan

    Published 2025-01-01
    “…MSAN-Net was adopted an integrated architecture, deeply combining UnifiedViT, C2f modules, convolution operations, SPPF structure, and Bi-Level Routing Attention mechanism to achieve accurate identification of complex industrial defects. …”
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    Article
  11. 52511
  12. 52512

    Inhibition Mechanism of Pleurotus citrinipileatus Sing. Ergothioneine on Pancreatic Lipase Activity by Zhangchen XIA, Xiaohui MENG, Ru FANG, Yanqing MAO, Junwen CHENG, Yanbin WANG, Juan XU, Liang HE

    Published 2025-02-01
    “…The UV spectrum indicated there was a π→π* transition produced by the peptide bond C=O group of PL as the mass concentration of PCEGT increased, which could reflect the reinforcement of polarity and hydrophilicity. Fluorescence spectra data revealed PCEGT could efficiently static-quench the intrinsic fluorescence of PL by changing its space structure. …”
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    Article
  13. 52513

    Comparative Genomics and Characterisation of the Role of <i>Saccharomyces cerevisiae</i> Respiration in the Fermentation of Chinese Steamed Bread by Yawen Gao, Yufeng Guo, Jianing Pang, Mingkai Liu, Tengdan Yuan, Qinhong Wang, Jingsheng Liu

    Published 2025-02-01
    “…At the micro level, CSBs 1, 25 and 33 showed a loose reticular structure with large holes and in which starch particles wrapped into gluten protein. …”
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  14. 52514

    Turbulent Transport Efficiency of Momentum and Sscalar over Forest Canopy in Southern Sichuan by Yi DING, Yu ZHANG, Demin FAN, Youqi SU, Qian ZHANG, Yanqi WANG, Yanqi WANG

    Published 2025-06-01
    “…The turbulent transport characteristics of momentum and scalar over the canopy were studied by using the three levels (20 m, 38 m and 56 m) turbulence data measured at the 60m forest micro meteorological tower in southern Sichuan from May 1 to June 30, 2021.Coherent structure is the main form of turbulent motion, which is composed of updraft (ejection) and downdraft (sweep).In this paper, the quadrant analysis method is used to analyze the boundary of the roughness sublayer, roughness sublayer and constant flux layer above the forest canopy and the ejection-sweep motion characteristics of the constant flux layer, including the difference of ejection and sweep contribution to flux, the difference between momentum and scalar transport, and the difference between different scalar (T, q, CO2) transport.The results show that under unstable and stable conditions, the ejection dominates the scalar transport at all three levels, while the sweep is the main eddy current motion for scalar transport above the roughness sublayer under neutral conditions.For the momentum flux, under unstable conditions, the ejection dominates at all three levels.Under stable conditions, the ejection dominates at the roughness sublayer and the constant flux layer, while at the boundary of the roughness sublayer and the constant flux layer, the effect of the sweep is greater than that of the ejection.Under neutral conditions, the flux contribution of the sweep is greater than that of the ejection except for the roughness sublayer.The third-order cumulant expansion method (CEM) can more accurately express the flux contribution caused by ejection and sweep, while the incomplete cumulant expansion method (ICEM) is poor in simulating the temperature at the boundary of roughness sublayer and constant flux layer.Through the calculation of transmission efficiency, the difference between momentum and scalar transmission is further quantified.The turbulent transfer efficiency of momentum decreases with increasing instability, while the heat transfer efficiency is the opposite.Atmospheric stability is an important factor controlling momentum and scalar transfer, and the transfer efficiency of water vapor is less affected by atmospheric stability.Under the condition of strong instability, the heat transfer efficiency is more effective than other scalar transfer.…”
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  15. 52515

    A Hybrid Deep Learning Framework for Deepfake Detection Using Temporal and Spatial Features by Fazeel Zafar, Talha Ahmed Khan, Salas Akbar, Muhammad Talha Ubaid, Sameena Javaid, Kushsairy Abdul Kadir

    Published 2025-01-01
    “…Our research introduces a model for detecting deepfakes by utilizing an Enhanced EfficientNet B0 structure in conjunction with Temporal Convolutional Neural Networks (TempCNNs). …”
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  16. 52516

    Radiologic assessment of the optimal point for tube thoracostomy using the sternum as a landmark: a computed tomography‐based analysis by Jaeik Jang, Jae-Hyug Woo, Mina Lee, Woo Sung Choi, Yong Su Lim, Jin Seong Cho, Jae Ho Jang, Jea Yeon Choi, Sung Youl Hyun

    Published 2024-03-01
    “…Purpose This study aimed at developing a novel tube thoracostomy technique using the sternum, a fixed anatomical structure, as an indicator to reduce the possibility of incorrect chest tube positioning and complications in patients with chest trauma. …”
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    Article
  17. 52517

    Spatio-temporal dynamics of Isoberlinia-dominated woodlands in disturbance-prone landscapes over 15 years by Shègoun Eudes Idjigbèrou, Eméline Sêssi Pélagie Assédé, Séverin Biaou, Gérard Nounagnon Gouwakinnou, Armand Kuyema Natta, Samadori Sorotori Honoré Biaou

    Published 2025-06-01
    “…Productivity and disturbance influence species richness and structure, enhancing our understanding of vegetation dynamics and species coexistence over time. …”
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    Article
  18. 52518

    Atrophy of hypothalamic subregions increases migraine risk: cross-sectional study and mendelian randomization analysis by Zhonghua Xiong, Lei Zhao, Geyu Liu, Dong Qiu, Yanliang Mei, Xiaoshuang Li, Zhi Guo, Peng Zhang, Mantian Zhang, Tianshuang Gao, Jinju Sun, Xin Liu, Yonggang Wang

    Published 2025-08-01
    “…Abstract Background The hypothalamus is a versatile structure comprising several nuclei that play key roles in regulating various biological processes associated with migraine, including hormone secretion, metabolism, circadian rhythm, and autonomic nervous system functions. …”
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  19. 52519

    Wetland dynamics in northern Australia’s tropical savanna (1987–2024): a multi-index Google Earth Engine approach for long-term monitoring by Kaline de Mello, Edimilson Rodrigues dos Santos Junior, Erica A. Garcia, Anna E. Richards, Peter Scott Waugh, Jessica Huxley, Simon Linke

    Published 2025-09-01
    “…Wetlands were categorized into twelve classes based on hydrological regime and vegetation structure. Validation showed high accuracy (93 % ± 1 %), with class-level accuracy above 80 % for most wetland types, including water bodies, mangroves, salt flats, swamps, marshes, and floodplains. …”
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  20. 52520